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AI Product Engineer Location: Mumbai Work from Office Experience: 24 Years Employment: Full-time Mandatory Please complete the Google Application Screening Form (https://forms.gle/iqmA9QeSQuUHeSoC7) About Discovr AI Discovr AI is building an AI-native infrastructure layer for creator advertising, enabling brands and agencies to automate creator discovery, campaign execution, content intelligence, brand safety, and reporting. We are building a new generation of AI systems for the creator economy, including specialised AI agents that can reason over creator data, campaign requirements, content, brand guidelines, and real-time signals. We are looking for an AI Product Engineer who wants to build these systems from the ground up. This is a highly hands-on engineering role. You will work closely with our product and engineering teams to design, build, test, deploy, and continuously improve the AI infrastructure and agentic systems powering Discovr AI. What You Will Own Design and build AI-powered features and intelligent agents for Discovr AI.Develop LLM-powered systems for reasoning, classification, extraction, recommendation, content analysis, and automation.Build agentic workflows that can perform multi-step tasks with tools, APIs, databases, and external systems.Experiment with different LLMs, models, prompting approaches, context strategies, and agent architectures.Build RAG pipelines, embeddings, retrieval systems, vector search, and knowledge systems.Develop robust prompt and model evaluation frameworks.Build systems for AI-generated and AI-assisted decisioning.Work with large volumes of creator, campaign, content, audience, and brand data.Integrate LLMs with internal databases, APIs, tools, and business workflows.Optimise AI systems for accuracy, latency, reliability, scalability, and cost.Build evaluation, monitoring, guardrail, and observability systems for AI agents.Work closely with Product Managers to convert product concepts into technically feasible AI systems.Rapidly prototype new AI capabilities and convert successful experiments into production systems.Debug and improve AI systems based on real-world performance.Contribute to the architecture and technical direction of Discovr's AI infrastructure. What We're Looking For 24 years of strong software/AI engineering experience.Strong proficiency in Python.Strong understanding of LLMs and modern generative AI systems.Hands-on experience building applications using LLM APIs.Experience with AI agents, RAG, embeddings, vector databases, or LLM orchestration.Strong understanding of APIs, databases, backend systems, and distributed systems.Ability to write clean, scalable, production-quality code.Strong debugging and problem-solving ability.Strong understanding of software engineering fundamentals.Experience taking AI prototypes into production.Curiosity to experiment with emerging AI technologies and rapidly learn new frameworks. Strongly Preferred Significant GitHub/open-source contributions.Strong personal AI projects.Active technical experimentation outside of work.Experience with LangChain/LangGraph or equivalent frameworks.Experience with OpenAI, Gemini, Claude, or other foundation models.Experience with vector databases and retrieval systems.Experience with model evaluation and observability.Experience with multimodal AI.Experience building autonomous or semi-autonomous AI agents.Competitive programming/coding background through platforms such as LeetCode, Codeforces, etc. The Ideal Candidate You don't need to have worked on exactly the same problem before. But you should be the kind of engineer who sees a new AI capability and thinks: Can I build this You should enjoy going deep into models, APIs, architectures, experiments, evaluation, and code. We are looking for someone who builds, not someone who simply follows AI trends. Why Join Discovr AI Build production AI systems from the ground up.Work on complex agentic AI problems.Work closely with Product, Engineering, and Founders.Solve real-world problems across AI, advertising, creators, and large-scale data.High ownership over AI architecture and experimentation.Opportunity to work with rapidly evolving LLM and agentic technologies. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.